World Regional Studies ›› 2022, Vol. 31 ›› Issue (2): 399-409.DOI: 10.3969/j.issn.1004-9479.2022.02.2020379
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Jiaqi ZHANG1(), Yannan LIU2, Binbin SONG1
Received:
2020-06-17
Revised:
2020-09-21
Online:
2022-03-15
Published:
2022-03-22
作者简介:
张家旗(1988-),男,讲师,博士,硕士生导师,主要从事城市空间大数据挖掘与分析研究,E-mail:2018023@zzuli.edu.cn。
基金资助:
Jiaqi ZHANG, Yannan LIU, Binbin SONG. Study on the spatial distribution characteristics of life service industry in the main urban area of Zhengzhou city based on POI data[J]. World Regional Studies, 2022, 31(2): 399-409.
张家旗, 刘晏男, 宋斌玢. 基于POI数据的郑州市主城区生活服务业空间分布特征研究[J]. 世界地理研究, 2022, 31(2): 399-409.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2022.02.2020379
I类 | II类 |
---|---|
餐饮 | 中餐厅、外国餐厅、小吃快餐店、咖啡厅、茶座、酒吧等 |
住宿 | 星级酒店、快捷酒店、公寓式酒店 |
购物 | 购物中心、超市、便利店、家居建材、家电数码、商铺、集市等 |
医疗 | 综合医院、专科医院、诊所、卫生站、体检机构、疗养院、急救中心等 |
教育培训 | 高等院校、幼儿园、小学、中学、成人教育、亲子教育等 |
运动健身 | 体育场馆、健身中心等 |
Tab.1 Classification of life service facilities
I类 | II类 |
---|---|
餐饮 | 中餐厅、外国餐厅、小吃快餐店、咖啡厅、茶座、酒吧等 |
住宿 | 星级酒店、快捷酒店、公寓式酒店 |
购物 | 购物中心、超市、便利店、家居建材、家电数码、商铺、集市等 |
医疗 | 综合医院、专科医院、诊所、卫生站、体检机构、疗养院、急救中心等 |
教育培训 | 高等院校、幼儿园、小学、中学、成人教育、亲子教育等 |
运动健身 | 体育场馆、健身中心等 |
服务业 | 餐饮 | 住宿 | 购物 | 医疗 | 教育培训 | 运动健身 |
---|---|---|---|---|---|---|
餐饮 | 1 | 0.788 | 0.855 | 0.874 | 0.769 | 0.877 |
住宿 | 0.788 | 1 | 0.634 | 0.746 | 0.651 | 0.768 |
购物 | 0.855 | 0.634 | 1 | 0.716 | 0.614 | 0.709 |
医疗 | 0.874 | 0.746 | 0.716 | 1 | 0.822 | 0.879 |
教育培训 | 0.769 | 0.651 | 0.614 | 0.822 | 1 | 0.85 |
运动健身 | 0.877 | 0.768 | 0.709 | 0.879 | 0.85 | 1 |
Tab. 2 Spatial correlation matrix of different life service industries in the main urban area of Zhengzhou
服务业 | 餐饮 | 住宿 | 购物 | 医疗 | 教育培训 | 运动健身 |
---|---|---|---|---|---|---|
餐饮 | 1 | 0.788 | 0.855 | 0.874 | 0.769 | 0.877 |
住宿 | 0.788 | 1 | 0.634 | 0.746 | 0.651 | 0.768 |
购物 | 0.855 | 0.634 | 1 | 0.716 | 0.614 | 0.709 |
医疗 | 0.874 | 0.746 | 0.716 | 1 | 0.822 | 0.879 |
教育培训 | 0.769 | 0.651 | 0.614 | 0.822 | 1 | 0.85 |
运动健身 | 0.877 | 0.768 | 0.709 | 0.879 | 0.85 | 1 |
服务业类型 | 中心坐标 | 长半轴/千米 | 短半轴/千米 | 方位角/度 | 面积/平方千米 | 扁率 |
---|---|---|---|---|---|---|
餐饮 | 113°38′47″,34°45′47″ | 8.59 | 6.78 | 115.54 | 183.11 | 0.21 |
住宿 | 113°39′12″,34°45′33″ | 8.00 | 6.44 | 108.93 | 161.84 | 0.20 |
购物 | 113°38′49″,34°45′30″ | 8.87 | 7.55 | 127.77 | 210.18 | 0.15 |
医疗 | 113°38′34″,34°45′29″ | 7.12 | 6.06 | 114.96 | 135.52 | 0.15 |
教育培训 | 113°38′34″,34°45′51″ | 7.16 | 6.37 | 110.49 | 143.14 | 0.11 |
运动健身 | 113°38′53″,34°45′40″ | 7.65 | 6.40 | 110.96 | 153.86 | 0.16 |
Tab.3 Parameters results of standard deviation ellipse analysis of different life service industries in the main urban area of Zhengzhou
服务业类型 | 中心坐标 | 长半轴/千米 | 短半轴/千米 | 方位角/度 | 面积/平方千米 | 扁率 |
---|---|---|---|---|---|---|
餐饮 | 113°38′47″,34°45′47″ | 8.59 | 6.78 | 115.54 | 183.11 | 0.21 |
住宿 | 113°39′12″,34°45′33″ | 8.00 | 6.44 | 108.93 | 161.84 | 0.20 |
购物 | 113°38′49″,34°45′30″ | 8.87 | 7.55 | 127.77 | 210.18 | 0.15 |
医疗 | 113°38′34″,34°45′29″ | 7.12 | 6.06 | 114.96 | 135.52 | 0.15 |
教育培训 | 113°38′34″,34°45′51″ | 7.16 | 6.37 | 110.49 | 143.14 | 0.11 |
运动健身 | 113°38′53″,34°45′40″ | 7.65 | 6.40 | 110.96 | 153.86 | 0.16 |
1 | 中商联专家工作委员会. 2017年中国商业十大热点展望之六-生活服务业稳步增长,餐饮业大众化转型趋向成熟,服务型消费成为商业蓝海. 商业经济研究, 2017(07):2. |
Expert Working Committee of China Chamber of Commerce. The sixth prospect of China's top ten business hotspots in 2017-the steady growth of life service industry, the popular transformation of catering industry tends to be mature, and service-oriented consumption has become a business blue ocean. Journal of Commercial Economics, 2017(07):2. | |
2 | 俞华, 路红艳, 武芳, 等. 扩大居民生活服务消费的对策建议. 经济研究参考, 2016(6):32-33. |
YU H, LU H, WU F, et al. Countermeasures and suggestions on expanding residents' consumption of life services. Review of Economic Research, 2016(6):32-33. | |
3 | 龙瀛, 刘伦伦. 新数据环境下定量城市研究的四个变革. 国际城市规划, 2017, 32(1):64-73. |
LONG Y, LIU L. Four transformations of Chinese quantitative urban research in the new data environment. Urban Planning International, 2017, 32(1):64-73. | |
4 | 陈洪星, 杨德刚, 李江月, 等. 大数据视角下的商业中心和热点区分布特征及其影响因素分析-以乌鲁木齐主城区为例. 地理科学进展, 2020, 39(5):738-750. |
CHEN H, YANG D, LI J, et al. Distribution characteristics and influencing factors of commercial center and hotspots based on big data: A case of the main urban area of Urumqi City. Progress in Geography, 2020, 39(5):738-750. | |
5 | 冉钊, 周国华, 吴佳敏, 等.基于POI数据的长沙市生活性服务业空间格局研究. 世界地理研究, 2019, 28(3):163-172. |
RAN Z, ZHOU G, WU J, et al. Study on spatial pattern of consumer service industry in Changsha based on POI data. World Regional Studies, 2019, 28(3):163-172. | |
6 | 林勋媛, 王广兴, 胡月明. 基于开放大数据的广州市中心城区职住平衡特征研究. 热带地理, 2020, 40(2):254-265. |
LIN X, WANG G, HU Y. Characteristics of the jobs-housing balance in central Guangzhou based on open big data. Tropical Geography, 2020, 40(2):254-265. | |
7 | 王艳华,赵建吉,刘娅娜,等.中国金融产业集聚空间格局与影响因素—基于地理探测器模型的研究.经济地理, 2020,40(4):125-133. |
WANG Y, ZHAO J, LIU Y, et al.The spatial pattern of China's financial industry agglomeration and its influencing factors:A study based on the geographical detector model.Economic Geography,2020,40(4):125-133. | |
8 | 杨文杰, 杜剑光, 陈利燕. 基于POI数据挖掘的科教文化空间特征分析研究——以广州市为例. 测绘与空间地理信息, 2020, 43(4):28-30. |
YANG W, DU J, CHEN L. Research on spatial characteristics of science and education culture based on POI data mining: Taking Guangzhou as an example. Geomatics & Spatial Information Technology, 2020, 43(4):28-30. | |
9 | 李卫东, 张铭龙, 段金龙. 基于POI数据的南京市空间格局定量研究. 世界地理研究, 2020, 29(2):317-326. |
LI W, ZHANG M, DUAN J. The research of Nanjing urban spatial pattern based on POI data. World Regional Studies, 2020, 29(2):317-326. | |
10 | 崔艳, 戚鹏程. 基于GIS的郑州市公共文化设施空间布局研究. 现代经济信息, 2012(7):165-166. |
CUI Y, QI P. Research on spatial layout of public cultural facilities in Zhengzhou based on GIS. Modern Economic Information, 2012(7):165-166. | |
11 | 焦耀, 刘望保, 石恩名. 基于多源POI数据下的广州市商业业态空间分布及其机理研究. 城市观察, 2015(6):86-96. |
JIAO Y, LIU W, SHI E. Research on the spatial distribution and mechanism of commercial activities of Guangzhou based upon multi-source POI data. Urban Insight, 2015(6):86-96. | |
12 | 赵宏波, 余涤非, 苗长虹, 等. 基于POI数据的郑州市文化设施的区位布局特征与影响因素研究. 地理科学,2018(9):26-34. |
ZHAO H, YU D, MIAO C, et al. The location distribution characteristics and influencing factors of cultural facilities in Zhengzhou based on POI data. Scientia Geographica Sinica, 2018(9):26-34. | |
13 | 吴先赋, 李永树, 王金明, 等. 基于POI数据的成都市区生活设施空间格局分析. 测绘地理信息, 2019(3):122-126. |
WU X, LI Y, WANG J, et al. Spatial pattern analysis of living facilities in Chengdu urban area based on POI data. Journal of Geomatics, 2019(3):122-126. | |
14 | 郭翰, 郭永沛, 冯长春. 基于多源数据的北京市六环路内酒店综合评级和空间布局研究.地域研究与开发, 2020, 39(2):64-69. |
GUO H, GUO Y, FENG C. Research on comprehensive rating and spatial distribution of hotel inside Beijing's sixth ring road based on multivariate data. Areal Research and Development, 2020, 39(0):64-69. | |
15 | 湛东升,谢春鑫,张文忠,等.基于累计机会可达性的北京城市公共服务设施复合功能识别.地球信息科学学报,2020,22(6):1320-1329. |
ZHAN D, XIE C, ZHANG W, et al. Identifying mixed functions of urban public service facilities in Beijing by cumulative opportunity accessibility method. Journal of Geo-information Science, 2020,22(6):1320-1329. | |
16 | 王录仓,常飞.基于多源数据的兰州市公共服务设施配置格局与规划策略.规划师,2019,35(18):12-18. |
WANG L, CHANG F. Public service facilities configuration and planning based on multi-source data, Lanzhou. Planners, 2019,35(18):12-18. | |
17 | 黎婕, 冯长春. 北京城市公共服务设施空间分布均衡性研究. 地域研究与开发, 2017, 36(3):71-77. |
LI J, FENG C. Spatial balance analysis on urban public service in Beijing city. Areal Research and Development, 2017, 36(3):71-77. | |
18 | 李伟,黄正东.基于POI的厦门城市商业空间结构与业态演变分析. 现代城市研究, 2018(4):56-65. |
LI W, HUANG Z.Commercial space structure and format evolution of Xiamen based on POI. Modern Urban Research, 2018(4):56-65. | |
19 | 赖长强, 巫细波. 基于GIS方法的特大型城市酒店空间布局特征研究-基于广州酒店POI数据分析. 现代城市研究, 2019(8):66-74. |
LAI C, WU X. A study on spatial distribution characteristics of megacity hotels based on GIS method: A data analysis based on poi data of Guangzhou hotels. Modern Urban Research, 2019(8):66-74. | |
20 | WANG F. Quantitative methods and applications in GIS. Boca Raton: CRC Press, 2006. |
21 | SILVERMAN B W. Density Estimation for Statistics and Data Analysis. London, UK: Chapman and Hall, 1986. |
22 | LEFEVER D W. Measuring geographic concentration by means of the standard deviational ellipse. The American Journal of Sociology, 1926 (1): 88-94. |
23 | ROBERT S Y. The standard deviational ellipse: An updated tool for spatial description. Geografiska Annaler. Series B, Human Geography, 1971 (1): 28-39. |
24 | 郝黎仁. SPSS实用统计分析. 北京:中国水利水电出版社, 2002. |
HAO L. SPSS practical statistical analysis. Beijing: China Water & Power Press,2002. |
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